-
Eur J Trauma Emerg Surg · Oct 2022
The ARISCAT score is a promising model to predict postoperative pulmonary complications after major emergency abdominal surgery: an external validation in a Danish cohort.
- Dunja Kokotovic, Thea Helene Degett, Sarah Ekeloef, and Jakob Burcharth.
- Department of Gastrointestinal Surgery, Copenhagen University Hospital-Herlev and Gentofte, Copenhagen, Denmark. dunja.kokotovic@hotmail.com.
- Eur J Trauma Emerg Surg. 2022 Oct 1; 48 (5): 3863-3867.
PurposePostoperative pulmonary complications (PPCs) occur in up to 30% of patients undergoing surgery and are a significant contributor to the overall risk of surgery. A preoperative risk prediction tool for postoperative pulmonary complications could succour clinical identification of patients at increased risk and support clinical decision making. This original study aimed to externally validate a risk model for predicting postoperative pulmonary complications (ARISCAT) in a cohort of patients undergoing major emergency abdominal surgery at a Danish University Hospital.MethodsARISCAT was validated prospectively in a cohort of patients undergoing major emergency abdominal surgery between March 2017 and January 2019. Predicted PPCs by ARISCAT were compared with observed PPCs. ARISCAT was validated with calibration, discrimination and accuracy and in adherence to the TRIPOD statement.ResultsThe study included a total of 585 patients with a median age of 70 years. The majority of patients underwent emergency laparotomy without bowel resection. The predicted PPC frequency by ARISCAT was 24.9%, while the observed frequency of PPCs in the cohort was 36.1%. The slope of the calibration plot was 0.9546, the y axis interception was 0.1269 and the plot was well fitted to a linear slope. The Hosmer Lemeshow goodness-of-fit analysis showed good calibration (p > 0.25). ARISCAT showed good discrimination with AUC 0.83 (95% CI 0.79-0.86) on a receiver-operating characteristics curve and the accuracy was also good with a Brier score of 0.19.ConclusionsARISCAT was a promising tool to predict PPCs in a high-risk surgical population undergoing major emergency abdominal surgery.© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.